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Searching Optimum Self-Brazing Powder Mixtures Intended for Use in Powder Metallurgy Diamond Tools—A Statistical Approach

MetadataDetails
Publication Date2025-06-10
JournalMaterials
AuthorsA. Romański, Piotr Matusiewicz, Elżbieta Cygan-Bączek
InstitutionsŁukasiewicz Research Network - Institute of Non-Ferrous Metals, Jagiellonian University
AnalysisFull AI Review Included

This study successfully optimized self-brazing powder metallurgy (PM) mixtures for diamond tools, focusing on the relationship between chemical composition and sintered matrix hardness (HV1).

  • Core Value Proposition: Development of iron-base powder mixtures exhibiting self-brazing capabilities, eliminating the need for secondary brazing operations typically required for cobalt-based matrices in wire saw bead production.
  • Hardness Control: The resulting matrix hardness was highly tunable, ranging from 260 HV1 to 437 HV1, allowing for precise matching of tool wear resistance to the abrasiveness of the stone workpiece (e.g., high resistance for sandstone, lower resistance for granite).
  • Compositional Drivers: Statistical analysis (ANOVA) confirmed that Phosphorous (P) content is the dominant factor influencing matrix hardness, with its effect being approximately seven times stronger than that of Nickel (Ni).
  • Sintering Performance: The materials exhibited excellent sinterability, achieving very low porosity (typically 0.28% to 1.60%), which is critical for superior diamond retention properties.
  • Predictive Modeling: Two multiple linear regression models were established to predict matrix hardness based on chemical composition, achieving high determination coefficients (R2) of 81.1% (Model 1) and 78.8% (Model 2).
ParameterValueUnitContext
Compaction Pressure260MPaCold compaction, single-action press
Sintering Temperature950°CIsothermal hold temperature
Sintering Time30minIsothermal hold duration
Sintering AtmosphereFlowing Pure H2N/AUsed to prevent oxidation
Heating Rate15K/minRate during heating phase
Vickers Hardness (HV1) Range260 to 437HV1Measured at 9.81 N (1 kgf) load
Dimensional Change (Shrinkage) Range-12.81 to -10.81% (DL/L0)Indicates excellent sinterability
Porosity Range (Typical)0.28 to 1.60%Low porosity achieved in most samples (M12 outlier at 7.58%)
Hardness Model (1) R281.1%Includes Cu, Sn, Ni, P content
Hardness Model (2) R278.8%Includes Cu, Ni, P content (Sn excluded)
Hardness DependenceP > Ni > CuN/AP content is the primary driver of hardness

The experimental procedure focused on cold compaction followed by controlled sintering, simulating industrial PM processes, and utilizing ANOVA for data analysis.

  1. Raw Material Selection: Commercially available powders were used, including Carbonyl Iron, Carbonyl Nickel, Atomized Copper, Atomized Bronze (10%, 15%, 20% Sn), and Ferrophosphorus (Fe-P, Fe3P). Mixtures were formulated to ensure sufficient liquid phase content for self-brazing during sintering.
  2. Compaction: Powder mixtures (without lubricant) were cold compacted in a rigid die at 260 MPa to produce 15 x 15 x 5 mm compacts.
  3. Sintering Profile: Specimens were sintered in a laboratory tube furnace at 950 °C for 30 minutes under a flowing pure hydrogen atmosphere. A heating rate of 15 K/min was maintained.
  4. Cooling: Cooling was performed in the furnace and cooling zone to 650 °C to simulate the cooling rate of an industrial belt furnace.
  5. Physical Characterization: Dimensional change (shrinkage) was measured. Density was determined using Archimedes’ principle (ASTM B962-23).
  6. Microstructural Analysis: Porosity was calculated optically (100x magnification) by binarizing micrographs and counting black pixels, ensuring accurate pore mapping without etching.
  7. Mechanical Testing: Hardness was measured using a Vickers indenter (HV1) under a 9.81 N load.
  8. Statistical Modeling: Analysis of Variance (ANOVA) was applied to the data using Statistica software to generate multiple linear regression models linking the chemical composition (Cu, Sn, Ni, P) to the measured HV1 hardness.

The developed self-brazing powder mixtures and predictive models are highly relevant for the manufacturing of high-performance abrasive tools.

  • Wire Saw Bead Production: The primary application is the fabrication of diamond-impregnated beads for wire saws used in quarrying and cutting natural stone (e.g., granite, marble).
  • Self-Brazing Tool Segments: The mixtures eliminate the costly and time-consuming secondary brazing step required to attach the diamond-impregnated layer to the steel support, streamlining the manufacturing process.
  • Customizable Wear Resistance: The ability to predict and control matrix hardness (260 HV1 to 437 HV1) via P and Ni content allows manufacturers to tailor tool segments for specific applications:
    • High Hardness Matrices: Used for cutting easy-to-cut, highly abrasive materials (e.g., sandstone) where high wear resistance is needed against slurry erosion.
    • Lower Hardness Matrices: Used for cutting hard-to-cut materials (e.g., granite) to ensure adequate self-sharpening of the tool.
  • Advanced PM Matrices: Applicable to other diamond-impregnated tools used in construction, such as segments for circular saws and core drills used for reinforced concrete and ceramics.
View Original Abstract

This paper presents a study on optimising self-brazing powder mixtures for powder metallurgy diamond tools, specifically focusing on wire saws used in cutting natural stone. The research aimed to understand the relationship between the chemical composition of powder mixtures and the hardness of the sintered matrix. The experimental process involved the use of various commercially available powders, including carbonyl iron, carbonyl nickel, atomised bronze, atomised copper, and ferrophosphorus. The samples made of different powder mixtures were compacted and sintered and then characterised by dimensional change, density, porosity, and hardness. The obtained results were statistically analysed using an analysis of variance (ANOVA) tool to create linear regression models that relate the material properties to their chemical composition. The investigated materials exhibited excellent sintering behaviour and very low porosity, which are beneficial for diamond retention. Very good sinterability of powder mixtures can be achieved by tin bronze addition, which provides a sufficient content of the liquid phase and promotes the shrinkage during sintering. Statistical analysis revealed that hardness was primarily affected by phosphorous content, with nickel having a lesser but still significant impact. The statistical model can predict the hardness of the matrix based on its chemical composition. This model, with a determination coefficient of approximately 80%, can be valuable for developing new metal matrices for diamond-impregnated tools, particularly for wire saw beads production.

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